Journal of Atmospheric and Environmental Optics, Volume. 20, Issue 2, 134(2025)

Design and preliminary application of weather phenomenon recognition system based on forward and backward light scattering principle

WANG Zhiru1,2,3, CHENG Yin1,2,3、*, GUI Huaqiao1,2,3, ZHANG Jiaoshi1,3, YANG Ming4, and LIU Jianguo1,2,3
Author Affiliations
  • 1Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
  • 2University of Science and Technology of China, Hefei 230026, China
  • 3Key Laboratory of Optical Monitoring Technology for Environment, Anhui Province , Hefei 230031, China
  • 4Anhui Branch of East China Air Traffic Administration of Civil Aviation of China, Hefei 230001, China
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    Weather phenomenon recognition is of great significance for transportation, agriculture and human daily activities, and automatic weather observation technology based on optical principle has broad application prospects. At present, the distinction of fog and haze by the existing meteorological instruments is mainly based on visibility range, with a single judgment condition, and to identify rain and snow, precipitation sensors are required, which is technically complex. In this work, based on the differences in scattering characteristics of rain, snow, fog and haze particles from different angles, a universal weather phenomenon recognition system based on forward and backward scattering principle is designed and developed, which identifies fog, haze, rain, snow and clean days through two-way scattering angle signals of 40° and 120°. Observation experiments in relatively stable environments show that, the system can realize accurate measurement of atmospheric visibility within a range of 60 m–13 km, and the correlation coefficient between the observed visibility results and the standard visibility below 5 km can reach 0.98. Moreover, it is shown that the range of the measured light intensity ratios in fog, haze, rain, snow and clean days are 0.16–0.19, 0.21–0.45, 0.11–0.15, 0.75–0.90 and 0.47–0.58, respectively, which can realize accurate differentiation of different weather types.

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    Zhiru WANG, Yin CHENG, Huaqiao GUI, Jiaoshi ZHANG, Ming YANG, Jianguo LIU. Design and preliminary application of weather phenomenon recognition system based on forward and backward light scattering principle[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(2): 134

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    Paper Information

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    Received: Oct. 19, 2022

    Accepted: --

    Published Online: May. 30, 2025

    The Author Email: Yin CHENG (chenyin@aiofm.ac.cn)

    DOI:10.3969/j.issn.1673-6141.2025.02.002

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